Oncology/Hematology

CCT2 defines a highly cisplatin-resistant and poor-prognosis subtype of lung adenocarcinoma.

Cisplatin-based chemotherapy is a standard treatment for lung adenocarcinoma (LUAD), yet acquired ci...

Extraction solvent shapes the phytochemistry, multi-target bioactivity, and machine learning-predicted anticancer targets of Seseli libanotis.

Seseli libanotis (L.) W. D. J. Koch (Apiaceae) is a wild vegetable traditionally consumed in eastern...

Deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy.

Locally advanced prostate cancer (PCa) is associated with a high recurrence rate even after curative...

Sodium Danshensu Attenuates Renal Ischemia-Reperfusion Injury by Suppressing STAT3-Driven Cytokine Signaling and Apoptosis.

OBJECTIVE: To evaluate the renoprotective effects and underlying molecular mechanisms of sodium dans...

Machine Learning-Driven Risk Prediction Model in Transthyretin Amyloid Cardiomyopathy.

IMPORTANCE: Transthyretin cardiac amyloidosis (ATTR-CM) is associated with poor prognosis and signif...

Non-invasive detection and monitoring of oral squamous cell carcinoma and oral potentially malignant disorders: an umbrella review on diagnostic accuracy.

OBJECTIVES: Various non-invasive diagnostic techniques have been developed and assessed to improve e...

Microphysiological immune-on-chip systems: engineering human immunity for precision immunotherapy, vaccine development, and autoimmune disease modelling.

Microphysiological immune-on-chip systems have emerged as transformative biomedical microdevices cap...

Leveraging artificial intelligence in the early detection of ovarian cancer: Development and validation of a risk prediction model.

OBJECTIVE: To develop and validate a predictive tool to estimate the risk of ovarian cancer in a scr...

Lactylation-related immune-metabolic dysregulation defines prognostic and therapeutic stratification in lung adenocarcinoma.

BACKGROUND: Lactylation links lactate metabolism with inflammatory signaling and immune regulation i...

Pan-tumor spatial transcriptomics reveals conserved properties of tumor organization.

Tumor microenvironments (TMEs) are compositionally and functionally heterogeneous, making it challen...

Brain Tumor Classification from MRI Using Colormap-Based Vision Transformers on the BRISC2025 Dataset.

Accurate brain tumor classification from magnetic resonance imaging (MRI) is essential for supportin...

Integrated multi-omics, machine learning, network toxicology, and molecular docking reveal potential mechanisms underlying methyl 4-hydroxybenzoate-associated breast cancer.

Breast cancer (BC) represents a major public-health burden, and epidemiological evidence suggests a ...

Multimodal Deep Stacking of Clinical and Multiomics Data for Breast Cancer Prognosis Prediction.

INTRODUCTION: Breast cancer prognosis prediction remains challenging due to the heterogeneous nature...

Corrigendum to "Integration of Inflammatory and Nutritional Biomarkers with Machine Learning Enhances Prediction of Progesterone Response in Fertility-Preserving Endometrial Carcinoma Management" [Translational Oncology volume 71 (2026) 102897].

Multiparametric MRI-derived Interpretable Habitat Radiomics for Preoperative Assessment of Tumor Budding Status in Breast Cancer.

RATIONALE AND OBJECTIVES: Breast cancer exhibits high biological heterogeneity and variable invasion...

W-AGRU-Net: a dual-stream attention framework for robust brain tumor segmentation in clinical MRI imaging.

Segmenting brain tumors from MRI scans is a challenging aspect of medical image analysis because of ...

Comment on "Artificial intelligence construction: a review of the bridge between CT imaging features of lung ground-glass nodules adenocarcinoma and carcinogenic driver genes".

Xue and Chen et al.'s review connects AI-derived CT features of lung ground-glass nodule adenocarcin...

Comparable Predictive Performance of Non-VCTE-Based Machine Learning Model for HBV-Infected Hepatocellular Carcinoma Risk.

BACKGROUND: Accurate risk stratification for hepatocellular carcinoma (HCC) among chronic hepatitis ...

A Validated, explainable machine learning-based preoperative risk model for microvascular invasion in hepatocellular carcinoma.

PURPOSE: This investigation aimed to develop and validate a diagnostic algorithm for preoperatively ...

Ovarian borderline tumors and minimally invasive surgery: a narrative review.

Borderline ovarian tumors (BOTs) are a distinct subgroup of epithelial ovarian neoplasms that common...

Cutaneous lymphomas - an update.

Primary cutaneous lymphomas (CL) and lymphoproliferative disorders (LPD) are heterogeneous T- and B-...